Classification is a large domain in the field of statistics and machine learning. Generally, classification can be broken down into two areas:
Binary classification, where we wish to group an outcome into one of two groups.
Multi-class classification, where we wish to group an outcome into one of multiple
Time series analysis refers to the analysis of change in the trend of the data over a period of time. Time series analysis has a variety of applications. One such application is the prediction of the future value of an item based on its past values. Future stock price
In the previous article, we studied how we can use filter methods for feature selection for machine learning algorithms. Filter methods are handy when you want to select a generic set of features for all the machine learning models.
However, in some scenarios, you may want to use a
Machine learning and deep learning algorithms learn from data, which consists of different types of features. The training time and performance of a machine learning algorithm depends heavily on the features in the dataset. Ideally, we should only retain those features in the dataset that actually help our machine
This is the third article in the series of articles on "Creating a Neural Network From Scratch in Python".
If you
